Bump numpy from 2.2.1 to 2.2.2 (#242)

Bumps [numpy](https://github.com/numpy/numpy) from 2.2.1 to 2.2.2.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/numpy/numpy/releases">numpy's
releases</a>.</em></p>
<blockquote>
<h2>2.2.2 (Jan 18, 2025)</h2>
<h1>NumPy 2.2.2 Release Notes</h1>
<p>NumPy 2.2.2 is a patch release that fixes bugs found after the 2.2.1
release. The number of typing fixes/updates is notable. This release
supports Python versions 3.10-3.13.</p>
<h2>Contributors</h2>
<p>A total of 8 people contributed to this release. People with a
&quot;+&quot; by
their names contributed a patch for the first time.</p>
<ul>
<li>Alicia Boya García +</li>
<li>Charles Harris</li>
<li>Joren Hammudoglu</li>
<li>Kai Germaschewski +</li>
<li>Nathan Goldbaum</li>
<li>PTUsumit +</li>
<li>Rohit Goswami</li>
<li>Sebastian Berg</li>
</ul>
<h2>Pull requests merged</h2>
<p>A total of 16 pull requests were merged for this release.</p>
<ul>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28050">#28050</a>:
MAINT: Prepare 2.2.x for further development</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28055">#28055</a>:
TYP: fix <code>void</code> arrays not accepting <code>str</code> keys in
<code>__setitem__</code></li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28066">#28066</a>:
TYP: fix unnecessarily broad <code>integer</code> binop return types (<a
href="https://redirect.github.com/numpy/numpy/issues/28065">#28065</a>)</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28112">#28112</a>:
TYP: Better <code>ndarray</code> binop return types for
<code>float64</code> &amp;...</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28113">#28113</a>:
TYP: Return the correct <code>bool</code> from
<code>issubdtype</code></li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28114">#28114</a>:
TYP: Always accept <code>date[time]</code> in the
<code>datetime64</code> constructor</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28120">#28120</a>:
BUG: Fix auxdata initialization in ufunc slow path</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28131">#28131</a>:
BUG: move reduction initialization to ufunc initialization</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28132">#28132</a>:
TYP: Fix <code>interp</code> to accept and return scalars</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28137">#28137</a>:
BUG: call PyType_Ready in f2py to avoid data races</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28145">#28145</a>:
BUG: remove unnecessary call to PyArray_UpdateFlags</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28160">#28160</a>:
BUG: Avoid data race in PyArray_CheckFromAny_int</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28175">#28175</a>:
BUG: Fix f2py directives and --lower casing</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28176">#28176</a>:
TYP: Fix overlapping overloads issue in 2-&gt;1 ufuncs</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28177">#28177</a>:
TYP: preserve shape-type in ndarray.astype()</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/28178">#28178</a>:
TYP: Fix missing and spurious top-level exports</li>
</ul>
<h2>Checksums</h2>
<h3>MD5</h3>
<pre><code>749cb2adf8043551aae22bbf0ed3130a
numpy-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl
bc79fa2e44316b7ce9bacb48a993ed91
numpy-2.2.2-cp310-cp310-macosx_11_0_arm64.whl
c6b2caa2bbb645b5950dccb77efb1dbb
numpy-2.2.2-cp310-cp310-macosx_14_0_arm64.whl
8c410efac169af880cacbbac8a731658
numpy-2.2.2-cp310-cp310-macosx_14_0_x86_64.whl
</code></pre>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/numpy/numpy/commit/fd8a68e4978defd094cffa23c71d7de7fb213e3f"><code>fd8a68e</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/28184">#28184</a>
from charris/prepare-2.2.2</li>
<li><a
href="https://github.com/numpy/numpy/commit/0d106a5162608e04f30688ed9226efdba765b405"><code>0d106a5</code></a>
REL: Prepare for the NumPy 2.2.2 release [wheel build]</li>
<li><a
href="https://github.com/numpy/numpy/commit/dfdd35af752a92b5cf2d6bb43f5676a918861589"><code>dfdd35a</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/28175">#28175</a>
from charris/backport-28056</li>
<li><a
href="https://github.com/numpy/numpy/commit/e4517a878203a1eb12a3d58f0d1374ff8db4fba4"><code>e4517a8</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/28176">#28176</a>
from charris/backport-28168</li>
<li><a
href="https://github.com/numpy/numpy/commit/2c0432b50bbe4ba246b089eb9a7c01b4b8f84adb"><code>2c0432b</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/28178">#28178</a>
from charris/backport-28170</li>
<li><a
href="https://github.com/numpy/numpy/commit/2230a0855644209120e11e596b55d99a35b1495e"><code>2230a08</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/28177">#28177</a>
from charris/backport-28169</li>
<li><a
href="https://github.com/numpy/numpy/commit/b04e32c15e6b3ad268fe5b314209915e7779764e"><code>b04e32c</code></a>
TYP: Fix missing and spurious top-level exports</li>
<li><a
href="https://github.com/numpy/numpy/commit/6a5f537ca978ed9d5204aa9d24845abf330b765f"><code>6a5f537</code></a>
TYP: preserve shape-type in ndarray.astype()</li>
<li><a
href="https://github.com/numpy/numpy/commit/f782790c08c50120b68641b3557ab96f5c1964c7"><code>f782790</code></a>
TYP: Fix overlapping overloads issue in 2-&gt;1 ufuncs</li>
<li><a
href="https://github.com/numpy/numpy/commit/a19acf1f66e6c8a57ecd37710b444e5bf8d10b89"><code>a19acf1</code></a>
BUG: Fix casing for f2py directives</li>
<li>Additional commits viewable in <a
href="https://github.com/numpy/numpy/compare/v2.2.1...v2.2.2">compare
view</a></li>
</ul>
</details>
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requirements.txt

@@ -1,2 +1,2 @@
-numpy==2.2.1
+numpy==2.2.2
 XlsxWriter==3.2.0